In-Memory Computing Essentials for Software Engineers

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms (IMCPs). IMCPs boost application performance and solve scalability problems by storing and processing unlimited data sets distributed across a cluster of interconnected machines.

This session is for software engineers and architects seeking practical experience with in-memory computing technologies. We will do a technical deep-dive into the Apache Ignite in-memory computing platform. You'll be given an overview (including code samples in Java) of in-memory concepts such as caches, databases, and data grids.

During this session, some of the topics we will focus on including the following essentials of distributed in-memory systems:

  • Data partitioning: utilizing all memory and CPU resources of the cluster
  • Affinity co-location: avoiding data shuffling over the network and using highly-performant, distributed SQL queries
  • Co-located processing: eliminating network impact on the performance of applications

At the end of this session, you should have a working knowledge of the Apache Ignite in-memory computing platform and how it can help overcome application performance and scalability challenges.

Presented by
Denis Magda
GridGain Vice President of Product Management and Apache Ignite committer and PMC member
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